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programme and three Master's programmes, alongside a robust range of outreach activities, and is dedicated to training the next generation of researchers - PhD candidates and postdoctoral scholars. With a
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is replaced by multiple objectives or by satisfactory balance between different criteria. References [1] J. A. Bærentzen, J. Gravesen, F. Anton, and H. Aanæs, Guide to Computational Geometry Processing
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this analysis is to try and predict whether two minima have a direct connection, and the next step would be to predict the corresponding transition state geometry. These capabilities are necessary to make
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of the domain, while the pre-processing step of geometry manipulation and mesh generation is one of the most important efficiency bottlenecks in such methods. The challenge is more prominent in modern, real-world
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, they do not reach their full potential. Recently, through the use of Riemannian geometry, we proposed a nonparametric framework for change-point detection in manifold-valued data streams [1]. We applied
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major challenge with dynamic structured data is finding representations that can effectively handle their underlying geometry, which is often defined by application-specific pseudo-distances. A common
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find a unified representation for the two modalities that allow an effective fusion. A large body of work simply projects LiDAR points to images using projective geometry (e.g.,[5, 6]) and uses the image
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Department of Mathematics (DMATH) at Luxembourg University is recognized internationally for leading research in both fundamental and applied areas of Mathematics. DMATH offers a Bachelor's program and three